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bioRxiv preprint doi: https://doi.org/10.1101/207498; this version posted July 13, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 2 3 4 Genome-Wide Association Study of Body Fat Distribution identifies Novel 5 Adiposity Loci and Sex-Specific Genetic Effects 6 7 Mathias Rask-Andersen*1, Torgny Karlsson1, Weronica E Ek1, Åsa Johansson*1 8 9 10 1Department of Immunology, Genetics and Pathology, Science for Life Laboratory, 11 Uppsala University. Box 256, 751 05, Uppsala, Sweden. 12 *Corresponding authors: [email protected] and 13 [email protected] 14 15 16 17 18 1 bioRxiv preprint doi: https://doi.org/10.1101/207498; this version posted July 13, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 19 Body mass and body fat composition are of clinical interest due to their links to 20 cardiovascular- and metabolic diseases. Fat stored in the trunk has been 21 suggested as more pathogenic compared to fat stored in other compartments of 22 the body. In this study, we performed genome-wide association studies (GWAS) 23 for the proportion of body fat distributed to the arms, legs and trunk estimated 24 from segmental bio-electrical impedance analysis (sBIA) for 362,499 individuals 25 from the UK Biobank. A total of 97 loci, were identified to be associated with 26 body fat distribution, 40 of which have not previously been associated with an 27 anthropometric trait. A high degree of sex-heterogeneity was observed and 28 associations were primarily observed in females, particularly for distribution of 29 fat to the legs or trunk. Our findings also implicate that body fat distribution in 30 females involves mesenchyme derived tissues and cell types, female endocrine 31 tissues a well as several enzymatically active members of the ADAMTS family of 32 metalloproteinases, which are involved in extracellular matrix maintenance and 33 remodeling. 34 35 Overweight (body mass index [BMI] >25) and obesity (BMI>30) have reached 36 epidemic proportions globally1. Almost 40% of the world’s population are now 37 overweight2 and 10.8% are obese3. Obesity is set to become the world’s leading 38 preventable risk factor for disease and early death due to the increased risks of 39 developing type 2 diabetes, cardiovascular disease, and cancer4. 40 41 The distribution of adipose tissue to discrete compartments within the human body is 42 associated with differential risk for development of cardiovascular and metabolic 43 disease5. Body fat distribution of fat is also well known to differ between sexes. After 44 puberty, women accumulate fat in the trunk and limbs to a proportionally greater 45 extent compared to other parts of the body, while men accumulate a greater extent of 46 fat in the trunk6. Accumulation of adipose tissue around the viscera, the internal 47 organs of the body, has been shown to be associated with increased risk of disease in 2 bioRxiv preprint doi: https://doi.org/10.1101/207498; this version posted July 13, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 48 both men and women7. In contrast, the preferential accumulation of adipose tissue in 49 the lower extremities, i.e. the hips and legs, has been suggested as a factor 50 contributing to the lower incidence of myocardial infarction and coronary death 51 observed in women during middle age8. The differential distribution of body fat 52 between sexes has been attributed to downstream effects of sex hormone secretion5. 53 However, the biological mechanisms that underlie body fat distribution have not been 54 fully elucidated. 55 56 BMI is commonly used as a proxy measurement of body adiposity in epidemiological 57 studies and in clinical practice. However, BMI is unable to discriminate between 58 adipose and lean mass, and between fat stored in different compartments of the body. 59 Other proxies that better represent distribution of body fat have also been utilized, 60 such as the waist-to-hip ratio (WHR), waist circumference (WC), and hip 61 circumference (HC). Through genome-wide association studies (GWAS), researchers 62 have identified hundreds of loci to be associated with proximal measurements of body 63 mass and body fat distribution such as BMI9, WHR10,11 and hip-, and waist 64 circumference11. Sex-stratified analyses have revealed sexual dimorphic effects at 65 twenty WHR-associated loci and 19 of these loci displayed stronger effects in 66 women12. Body fat mass has also been studied in GWAS by using bio-electrical 67 impedance analysis (BIA) and dual energy X-ray absorptiometry (DXA)13,14. BIA 68 measures the electrical impedance through the human body, which can be used to 69 calculate an estimate of the total amount of adipose tissue. The ‘gold standard’ 70 method for measurements of body fat distribution is computed tomography (CT) or 71 magnetic resonance imaging (MRI). However, these methods are costly. A GWAS 72 has been performed for subcutaneous- and visceral adiposity, measured with 3 bioRxiv preprint doi: https://doi.org/10.1101/207498; this version posted July 13, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 73 computed tomography scans, albeit in a relatively limited number of individuals 74 (N=10,577)15. 75 76 Developments in BIA technology has now allowed for cost-efficient segmental body 77 composition scans that estimate of the fat content of the trunk, arms and legs16 (Figure 78 1a). In this study, we used segmental BIA data on 362,499 participants of the UK 79 Biobank to study the genetic determinants of body fat distribution to the trunk, arms 80 and legs. For this purpose, we performed GWAS on the proportion of body fat 81 distributed to these compartments. We also performed sex-stratified analyses to 82 determine sex-specific effects and performed gene-sex interaction analyses to identify 83 effects that differ between men and women. 84 85 Results 86 The proportions of body fat distributed to the arms – arm fat ratio (AFR), the legs – 87 leg fat ratio (LFR) and the trunk – trunk fat ratio (TFR) were calculated by dividing 88 the fat mass per compartment with the total body fat mass for each participant (Figure 89 1a). We conducted a two-stage GWAS using data from the interim release of 90 genotype data in UK Biobank as a discovery cohort. Another set of participants, for 91 which genotype data were made available as part of the second release, was used for 92 replication. After removing non-Caucasians, genetic outliers and related individuals, 93 116,138 and 246,360 participants remained in the discovery and replication cohorts, 94 respectively. Basic characteristics of the discovery and replication cohorts are 95 presented in supplementary Table 1. Women were found to have higher total sBIA- 96 estimated fat mass compared to men in both the discovery and replication cohort, as 97 well as higher amount of fat in the arms and legs. Males had higher average 4 bioRxiv preprint doi: https://doi.org/10.1101/207498; this version posted July 13, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 98 proportion of body fat located in the trunk compared to females (62.2% vs. 50.3%) 99 and women had a larger proportion of body fat located in the legs (39.7% vs. 28.1%). 100 While the total amount of adipose tissue in the arms was estimated to be higher in 101 women compared to men, the fraction of adipose tissue distributed to the arms were 102 similar. Several smaller differences between the discovery and replication cohorts 103 were present (supplementary Table 1), such as some slight differences in height and 104 age between men and women in the discovery and replication cohorts. These 105 differences most likely represent the 50,000 participants for the UK Biobank Lung 106 Exome Variant Evaluation (UK BiLEVE) project that were included in the first 107 release of genotyping data for ~150,000 participants, which were used as a discovery 108 cohort in this study. Selection for UK BiLEVE was conducted with specific 109 consideration to lung function which may reflect the differences in baseline 110 characteristics for this subset of the cohort. However, these differences are unlikely to 111 affect the results from our analyses. 112 113 Genome wide association study for body fat ratio 114 GWAS was performed for each of the three phenotypes (AFR, LFR and TFR) in the 115 whole discovery cohort (sex-combined) and when stratifying by sex (males and 116 females), adjusting for covariates as described in the method section. A total of 117 25,472,837 imputed SNPs, with MAF of at least 0.0001, were analyzed in the 118 discovery GWAS. LD score regression intercepts17 ranged from 1.00 to 1.03 119 (supplementary Figure 1, supplementary Table 2), and were used to adjust for 120 genomic inflation. We used the -clump function in PLINK18, in combination with 121 conditioning on the most significant SNP, to identify associations that were 122 independent within each GWAS as well as between GWAS for the three body fat 5 bioRxiv preprint doi: https://doi.org/10.1101/207498; this version posted July 13, 2018.
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